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Nityo Infotech Limited

Australia / Global

Databricks Tech Lead

Job Description

Experience:

6+ years in Data Engineering, with at least 3–4 years of hands-on technical leadership experience leading engineering pods. Core Databricks & Spark:

Advanced proficiency in PySpark and Databricks SQL. Ingestion Expertise:

Proven experience building custom or highly configurable data ingestion frameworks for structured and unstructured data. Cloud Platforms:

Strong experience working with AWS, Azure, or GCP cloud-native services (e.g., S3, ADLS). Engineering Standards:

Deep understanding of data modeling (star/snowflake schemas), SCD (Slowly Changing Dimensions), and software engineering principles in a data context. Soft Skills:

Excellent stakeholder management and the ability to translate complex technical architectures into business value. Preferred Qualifications Experience with Kafka, dbt, or Delta Live Tables (DLT). Databricks Certified Data Engineer Associate/Professional credentials

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